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About Machine Learning
This document provides an introduction and overview of machine learning. It discusses the different types of machine learning including supervised, unsupervised, semi-supervised, and reinforcement learning. For supervised learning, it explains that the goal is to use a dataset of examples and their labels to produce a model that can predict the label of new examples. The model takes a feature vector as input and outputs a prediction.
Detailed Information
| Author: | ['Fotis Kasolis'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 135 |
| Language: | English |
| Format: | |
| Price: | FREE |
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